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'On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners' (2003)
Journal Article
Aickelin, U., & Bull, L. (2003). 'On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners'

This paper examines the use of a hierarchical coevolutionary genetic algorithm under different partnering strategies. Cascading clusters of sub-populations are built from the bottom up, with higher-level sub-populations optimising larger parts of the... Read More about 'On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners'.

'A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem' (2003)
Conference Proceeding
Li, J., & Aickelin, U. (2003). 'A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem'.

Abstract- A Bayesian optimization algorithm for the nurse scheduling problem is presented, which involves choosing a suitable scheduling rule from a set for each nurse's assignment. Unlike our previous work that used GAs to implement implicit learnin... Read More about 'A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem'.

'Explicit Learning: an Effort towards Human Scheduling Algorithms' (2003)
Conference Proceeding
Li, J., & Aickelin, U. (2003). 'Explicit Learning: an Effort towards Human Scheduling Algorithms'.

Abstract Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approaches are problem-specific and research into the development o... Read More about 'Explicit Learning: an Effort towards Human Scheduling Algorithms'.

A Bayesian optimization algorithm for the nurse scheduling problem (2003)
Conference Proceeding
Li, J., & Aickelin, U. (2003). A Bayesian optimization algorithm for the nurse scheduling problem.

A Bayesian optimization algorithm for the nurse scheduling problem is presented, which involves choosing a suitable scheduling rule from a set for each nurse’s assignment. Unlike our previous work that used GAs to implement implicit learning, the lea... Read More about A Bayesian optimization algorithm for the nurse scheduling problem.

Danger theory: the link between AIS and IDS? (2003)
Book Chapter
Aickelin, U., Bentley, P., Cayzer, S., Kim, J., & McLeod, J. (2003). Danger theory: the link between AIS and IDS?. In J. Timmis, P. Bentley, & E. Hart (Eds.), Artificial immune systems: second international conference, ICARIS 2003, Edinburgh, UK, September 1-3, 2003: proceedings. Springer. https://doi.org/10.1007/978-3-540-45192-1_15

We present ideas about creating a next generation Intrusion Detection System (IDS) based on the latest immunological theories. The central challenge with computer security is determining the difference between normal and potentially harmful activity... Read More about Danger theory: the link between AIS and IDS?.